Estimation of Faults in DC Electrical Power System
This paper demonstrates a novel optimizationbased
approach to estimating fault states in a DC power
system. The model includes faults changing the circuit topology
along with sensor faults. Our approach can be considered as
a relaxation of the mixed estimation problem. We develop
a linear model of the circuit and pose a convex problem
for estimating the faults and other hidden states. A sparse
fault vector solution is computed by using l1 regularization.
The solution is computed reliably and efficiently, and gives
accurate diagnostics on the faults. We demonstrate a real-time
implementation of the approach for an instrumented electrical
power system testbed at NASA. Accurate estimates of multiple
faults are computed in milliseconds on a PC. The approach
performs well despite unmodeled transients and other modeling
uncertainties present in the system.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[
"026:00"
]
|
| contactPoint |
{
"fn": "SCOTT POLL",
"@type": "vcard:Contact",
"hasEmail": "mailto:scott.d.poll@nasa.gov"
}
|
| description | This paper demonstrates a novel optimizationbased approach to estimating fault states in a DC power system. The model includes faults changing the circuit topology along with sensor faults. Our approach can be considered as a relaxation of the mixed estimation problem. We develop a linear model of the circuit and pose a convex problem for estimating the faults and other hidden states. A sparse fault vector solution is computed by using l1 regularization. The solution is computed reliably and efficiently, and gives accurate diagnostics on the faults. We demonstrate a real-time implementation of the approach for an instrumented electrical power system testbed at NASA. Accurate estimates of multiple faults are computed in milliseconds on a PC. The approach performs well despite unmodeled transients and other modeling uncertainties present in the system. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "ACC09_ADAPT.pdf",
"format": "PDF",
"mediaType": "application/pdf",
"description": "ACC09_ADAPT.pdf",
"downloadURL": "https://c3.nasa.gov/dashlink/static/media/publication/ACC09_ADAPT.pdf"
}
]
|
| identifier | DASHLINK_868 |
| issued | 2013-12-18 |
| keyword |
[
"ames",
"dashlink",
"nasa"
]
|
| landingPage | https://c3.nasa.gov/dashlink/resources/868/ |
| modified | 2025-04-01 |
| programCode |
[
"026:029"
]
|
| publisher |
{
"name": "Dashlink",
"@type": "org:Organization"
}
|
| title | Estimation of Faults in DC Electrical Power System |
